Envoy is a distributed compute platform built from the ground up for autonomous agents. As a Cloud Infrastructure Engineer, you’ll architect and build systems that deploy, coordinate, and scale intelligent agents across regions, handling the unique challenges of agent-centric infrastructure: low-latency execution, state management, distributed coordination, and intelligent resource allocation.

You’ll work on:

• Distributed agent deployment - Design systems for deploying agents globally with zero-latency execution
• Agent orchestration - Build control planes for coordinating multi-region agent networks
• Autonomous resource allocation - Create systems that dynamically allocate compute resources based on agent demand
• State management - Build persistent systems for agent state and context
• Cloud abstraction - Design cloud-agnostic infrastructure supporting AWS, GCP, Azure, and on-premises
• Observability & monitoring - Build systems to monitor and understand distributed agent behavior, * Design and develop Envoy’s core distributed compute platform
• Build agent deployment and orchestration systems
• Architect multi-region failover and load balancing for agent workloads
• Implement agent state management and persistence layers
• Develop monitoring and observability for distributed agent networks
• Optimize for low-latency agent execution across regions
• Collaborate with security and product teams on requirements
• Build tools and SDKs for agent operators and users

Required:

• 4+ years of professional experience in cloud infrastructure, DevOps, or systems engineering
• Deep expertise in Kubernetes, container orchestration, or distributed systems
• Strong experience with cloud platforms (AWS, GCP, or Azure)
• Proficiency in Go, Rust, Python, or Java
• Experience designing and operating systems at scale
• Solid understanding of networking, storage, and compute infrastructure

Nice to Have:

• Experience with agent-based systems or autonomous system infrastructure
• Background in machine learning infrastructure or MLOps
• Experience with distributed consensus or state management systems
• Contributions to open-source infrastructure projects
• Experience with edge computing or hybrid cloud architectures, * Deep expertise in designing cloud systems for scale and reliability
• Understanding of distributed systems challenges (coordination, state consistency, failure recovery)
• Experience designing systems with unique architectural requirements
• Strong focus on observability and operational excellence
• Ability to wear multiple hats-from architectural design to hands-on implementation
• Passion for building infrastructure that enables intelligent applications at scale

• Distributed systems challenges - Solve fascinating problems in scale, coordination, and autonomy
• Global reach - Build infrastructure deployed globally for autonomous agents
• Remote-friendly - Work from anywhere with a collaborative, distributed team
• Learning opportunities - Stay at the forefront of autonomous systems infrastructure
• Competitive salary commensurate with experience
• Equity in Arlin Systems
• Remote work flexibility
• Annual discretionary PTO

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